The Establishment of Autonomous Management Model of Secondary Vocational Students based on Neural Network Principle

With the advancement of educational technology, particularly in the field of artificial intelligence, traditional student management models are gradually shifting towards technology-driven personalized learning support. This study aims to explore and develop an autonomous management model based on neural network principles, with the objective of enhancing the self-management abilities of secondary vocational school students, encompassing their learning, living, and social behaviors. The model leverages deep learning techniques to process and analyze students' daily behavior data, thereby predicting potential behavior patterns and providing targeted management strategies and recommendations. Experimental results indicate that the model not only assists students in better planning and adjusting their studies and lives but also provides effective teaching and management support for teachers. Furthermore, through the analysis of specific cases, this study delves into the model's practical outcomes and areas for improvement. Overall, this research offers a new perspective and approach to the autonomous management of secondary vocational school students, with significant implications and insights for educational management practices.